Theory and Principles of Electrode ProcessesRonald Press Company, 1965 - 303 pagine |
Dall'interno del libro
Risultati 1-3 di 96
Pagina 9
... integral of a measurable function on 2 , we begin with the case in which μ is a finite measure ( although the direct definition without this restriction is possible , which might be more ele- gant ; for instance , see Royden [ 1 ] , p ...
... integral of a measurable function on 2 , we begin with the case in which μ is a finite measure ( although the direct definition without this restriction is possible , which might be more ele- gant ; for instance , see Royden [ 1 ] , p ...
Pagina 10
... integrals is finite , we define the integral of f ( w ) by - So f ( 0 ) dụ = Soft ( ) dut ) dụ Ω Ω ( 4 ) This may be + ∞ or —∞ . If both sof * ( w ) dμ and soƒ ̃ ( ∞ ) dμ are finite , then f ( w ) is said to be integrable . This ...
... integrals is finite , we define the integral of f ( w ) by - So f ( 0 ) dụ = Soft ( ) dut ) dụ Ω Ω ( 4 ) This may be + ∞ or —∞ . If both sof * ( w ) dμ and soƒ ̃ ( ∞ ) dμ are finite , then f ( w ) is said to be integrable . This ...
Pagina 164
... integral , the integral in Section 4.3 , Eq . ( 8 ) or ( 9 ) was broken into two parts Su < A and Su > A . In the first integral , the Riemann - Lebesgue lemma ( Theorem 2.1.1 ) was used to show it to converge to zero as →→ ∞ . In ...
... integral , the integral in Section 4.3 , Eq . ( 8 ) or ( 9 ) was broken into two parts Su < A and Su > A . In the first integral , the Riemann - Lebesgue lemma ( Theorem 2.1.1 ) was used to show it to converge to zero as →→ ∞ . In ...
Parole e frasi comuni
1)-summable ² dt ² dx a₁ absolutely continuous absolutely convergent analytic Borel bounded variation C₁ C₂ called characteristic function characteristic function f(t completes the proof condition constant continuity point continuous function convergence theorem converges almost surely converges to zero converges weakly Corollary defined dF(u dF(x distribution function F(x everywhere exists F₁ F₁(x F₂ finite interval Fn(x following theorem Fourier coefficients Fourier series Fourier transform Fourier-Stieltjes transform func function of F(x given half-plane Hence holds implies independent random variables inequality inner product space integral inversion formula Laplace transform Laplace-Stieltjes transform Lebesgue Lemma Let f(x lim sup measurable function necessary and sufficient nondecreasing function nonnegative ºº periodic function positive number power series proof of Theorem R₁ right-hand side satisfies Section sin² Suppose that f(x tion write Xn(w